scholarly journals CORRELATION BETWEEN CHRONIC KIDNEY DISEASES AND HEMATOLGICAL DATA IN SABRATHA HOSPITAL IN LIBYA

2017 ◽  
Vol 10 (2) ◽  
pp. 291
Author(s):  
Ata Sedik Elsayed ◽  
Azab Elsayed Azab ◽  
Nargis Omar Eaboda
Keyword(s):  
Renal Failure ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Plasma Concentrations ◽  
Chronic Kidney Failure ◽  
Disease Stage ◽  
Chronic Kidney Diseases ◽  
Erythropoietin Production ◽  
Relative Deficiency ◽  
Consequent Increase

In chronic kidney failure, there is impairment in the excretion of toxic non-volatile solutes, with consequent increase in the plasma concentrations of all metabolites derived mainly from protein metabolism, characterized by increased urea and creatinine, the prevalence and severity of anemia are related to the kidney disease stage and the relative deficiency or reduction in erythropoietin production is the main cause. This study aimed at checking the correlation between anemia and chronic kidney diseases in patients who underwent hemodialysis in Sabratha Hospital in the West of Libya. This study was conducted on 60 patients (36 males and 24 females) with chronic renal failure from October 2015 to April 2016 and a group of 40 (20 males and 20 females) individuals as control. The results of the study concluded that there is a correlation between progression of chronic kidney diseases and reduction in hemoglobin, red blood cells count, hematocrit, and serum iron.Keywords: Chronic kidney diseases, Chronic kidney disease, Anemia, Renal failure

Systems analysis of plasma IgG intact N-glycopeptides from patients with chronic kidney diseases via EThcD-sceHCD-MS/MS

The Analyst ◽  
2021 ◽  
Author(s):  
Yong Zhang ◽  
Shanshan Zheng ◽  
Yonghong Mao ◽  
Wei Cao ◽  
Lijun Zhao ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Immune Response ◽  
Kidney Disease ◽  
Immunoglobulin G ◽  
Systems Analysis ◽  
Kidney Diseases ◽  
Site Specific ◽  
Chronic Kidney Diseases

Immunoglobulin G (IgG) molecules modulate an immune response. However, site-specific N-glycosylation signatures of plasma IgG in patients with chronic kidney disease (CKD) remain unclear. This study aimed to propose a...

scholarly journals Post PCI Vascular and Bleeding Complications in Patients with or Without CKD

2016 ◽  
Vol 01 (01) ◽  
pp. 022-027
Author(s):  
Harish Oruganti ◽  
Jyotsna Maddury
Keyword(s):  
Renal Failure ◽  
Kidney Diseases ◽  
Vascular Complications ◽  
Therapeutic Interventions ◽  
Bleeding Complications ◽  
Access Site ◽  
Chronic Kidney Diseases ◽  
Artery Disease ◽  
General Populations ◽  
Distal Embolisation

AbstractBACKGROUND: There is increasing trend of both Cardiovascular disease (CVD) and chronic kidney diseases (CKD) in general populations. The individuals with CKD are more likely to die of CVD than of kidney failure. Both diagnostic and therapeutic interventions are crucial in management of CKD patients with coronary artery disease. As CKD itself is associated with more bleeding complications we aim to study the incidence of vascular complications (vessel thrombosis, distal embolisation, dissection, poorly controlled bleeding at puncture site, pseudoaneurysm, arteriovenous fistula, retroperitoneal hematoma, and development of femoral neuropathy) in Percutaneous intervention (PCI) patients with renal failure.METHODS: 950 patients who underwent PCI procedures were classified into CKD (GFR<60ml/min/m2) (n=380, 40%) and non-CKD (n=570, 60%) groups. Two groups were analyzed for the occurrence of vascular complications post PCI.RESULTS: Vascular complications were seen in 28 out of 380 patients with CKD (7.37%) and 17 out of 570 patients without CKD (2.98%). Patients with renal failure (GFR<60ml/min/m2) were found to have higher risk of vascular complications post PCI. [p = 0.03, OR = 2.588 (1.344-5.017)]. Non access site complications were more common in patients with CKD compared to non CKD. 16 patients with CKD developed non access site complications compared to 9 in patients without CKD.[p=0.001, odds ratio 2.793(1.15-6.916)CONCLUSIONS: This study demonstrates higher risk of vascular complications post-PCI in patients with CKD compared to non CKD patients. Higher incidence of non access site complications was also observed in CKD patients.

scholarly journals An Approach to Classify Chronic Kidney Diseases using Scintigraphy Images

2019 ◽  
Author(s):  
Pedro Pedrosa Rebouças Filho ◽  
Suane Pires Pinheiro Da Silva ◽  
Jefferson Silva Almeida ◽  
Elene Firmeza Ohata ◽  
Shara Shami Araujo Alves ◽  
...  
Keyword(s):  
Machine Learning ◽  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Extraction Methods ◽  
Support Vector ◽  
Svm Classifier ◽  
K Nearest Neighbors ◽  
Chronic Kidney Diseases ◽  
Occurrence Matrix

Chronic kidney diseases cause over a million deaths worldwide every year. One of the techniques used to diagnose the diseases is renal scintigraphy. However, the way that is processed can vary depending on hospitals and doctors, compromising the reproducibility of the method. In this context, we propose an approach to process the exam using computer vision and machine learning to classify the stage of chronic kidney disease. An analysis of different features extraction methods, such as Gray-Level Co-occurrence Matrix, Structural Co-occurrence Matrix, Local Binary Patters (LBP), Hu's Moments and Zernike's Moments in combination with machine learning methods, such as Bayes, Multi-layer Perceptron, k-Nearest Neighbors, Random Forest and Support Vector Machines (SVM), was performed. The best result was obtained by combining LBP feature extractor with SVM classifier. This combination achieved accuracy of 92.00% and F1-score of 91.00%, indicating that the proposed method is adequate to classify chronic kidney disease in two stages, being a high risk of developing end-stage renal failure and other outcomes, and otherwise.

scholarly journals Data Analysis on Chronic Kidney Disease Prognosis

2020 ◽  
Vol 8 (6S) ◽  
pp. 130-132
Keyword(s):  
Machine Learning ◽  
Chronic Kidney Disease ◽  
Data Analysis ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Chronic Kidney Diseases ◽  
Optimum Result ◽  
Disease Prognosis

We have taken our dataset from UCI Machine Learning Repository. Our study is about Chronic Kidney Diseases based on 24 input attributes to produce one output attribute i.e. a patient is suffering from chronic kidney disease or not. We have used three major attributes in our study i.e. PCV, RBCC and Hemoglobin with respect to Age for optimum result. These attributes play major role in our study.

scholarly journals Relationship between xerosis and pruritus in patients with chronic kidney disease

2017 ◽  
Vol 71 (0) ◽  
pp. 0-0
Author(s):  
Katarzyna Kiliś-Pstrusińska ◽  
Elżbieta Wojtowicz-Prus ◽  
Jacek Szepietowski
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Treatment Options ◽  
Skin Lesions ◽  
Chronic Kidney Diseases ◽  
Skin Changes ◽  
Uremic Pruritus ◽  
Common Skin

Xerosis and pruritus are the most common skin disorders in patients with chronic kidney diseases (CKD). The prevalence and intensity of those skin changes are higher in patients undergoing dialysis, independent of its type, compared to patients treated conservatively. However, they can occur even in the early stages of CKD and be very bothersome for the sufferers. The problem of dry skin in CKD patients, its characteristics, reasons and relationship between xerosis and pruritus have been described. The current views on the pathogenesis of chronic kidney disease-associated pruritus (CKD-P), formerly known as uremic pruritus, have been discussed. This article summarizes the available treatment options for CKD-P, including both topical and systemic therapies. The authors direct attention to the need for skin lesions treatment in order to prevent their progression and to improve the quality of patients’ life.

scholarly journals Intelligent Prediction Techniques for Chronic Kidney Disease Data Analysis

2021 ◽  
Vol 11 (2) ◽  
pp. 19-37
Author(s):  
Shanmugarajeshwari V. ◽  
Ilayaraja M.
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Clinical Decision ◽  
Great Accuracy ◽  
Attribute Selection ◽  
Risk Level ◽  
Chronic Kidney Diseases ◽  
Medical Databases ◽  
Prediction Techniques

Information is stored in various domains like finance, banking, hospital, education, etc. Nowadays, data stored in medical databases are growing rapidly. The proposed approach entails three parts comparable to preprocessing, attribute selection, and classification C5.0 algorithms. This work aims to design a machine-based diagnostic approach using various techniques. These algorithms improve the efficiency of mining risk factors of chronic kidney diseases, but there are also have some shortcomings. To overcome these issues and improve an effectual clinical decision support system exhausting classification methods over a large volume of the dataset for making better decisions and predictions, this paper presents grouping classification assembly through consuming the C5.0 algorithm, pointing towards assembling time to acquire great accuracy to identify an early diagnosis of chronic kidney disease patients with risk level by analyzing the chronic kidney disease dataset.

scholarly journals Butyrate producing microbiota are reduced in chronic kidney diseases

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bei Gao ◽  
Adarsh Jose ◽  
Norma Alonzo-Palma ◽  
Taimur Malik ◽  
Divya Shankaranarayanan ◽  
...  
Keyword(s):  
Chronic Kidney Disease ◽  
Kidney Disease ◽  
Gut Microbiota ◽  
Disease Severity ◽  
Kidney Diseases ◽  
Health Concern ◽  
Chronic Kidney Diseases ◽  
Component Systems ◽  
Advanced Stages ◽  
Two Component Systems

AbstractChronic kidney disease is a major public health concern that affects millions of people globally. Alterations in gut microbiota composition have been observed in patients with chronic kidney disease. Nevertheless, the correlation between the gut microbiota and disease severity has not been investigated. In this study, we performed shot-gun metagenomics sequencing and identified several taxonomic and functional signatures associated with disease severity in patients with chronic kidney disease. We noted that 19 microbial genera were significantly associated with the severity of chronic kidney disease. The butyrate-producing bacteria were reduced in patients with advanced stages of chronic kidney diseases. In addition, functional metagenomics showed that two-component systems, metabolic activity and regulation of co-factor were significantly associated with the disease severity. Our study provides valuable information for the development of microbiota-oriented therapeutic strategies for chronic kidney disease.

scholarly journals The role of metabolic acidosis in chronic kidney diseases

2010 ◽  
Vol 4 (3) ◽  
pp. 367-372
Author(s):  
James C. M. Chan
Keyword(s):  
Chronic Kidney Disease ◽  
Metabolic Acidosis ◽  
Kidney Disease ◽  
Kidney Diseases ◽  
Original Research ◽  
Due Diligence ◽  
Acid Base ◽  
Chronic Kidney Diseases ◽  
Balance Development

Abstract Background and objectives: This review focuses on three areas, basic acid-base physiology especially concerning hydrogen ion balance, development of acidosis in chronic kidney disease (CKD), and the consequences of acidosis. We highlight what is well established, what is less certain, and what is unknown. Method and results: The literature on acidosis in CKD were searched from 2004 to 2010 utilizing PubMed, Google Scholar, and Ovid to augment the classic work on acid base physiology over the past three decades. The original research in endogenous acid production and net acid excretion were reviewed. Touching upon the development of metabolic acidosis in CKD, we focused on the consequences of chronic metabolic acidosis on growth and other important variables. Finally, we recognize the significant issue of patients’ medical non-compliance and presented treatment strategy to counter this problem. Conclusion: The correction of acidosis in chronic kidney disease needs no advocacy. The case is made conclusively. Patient non-compliance because of the medication that needs to be taken several times a day is a problem, requiring due diligence.

scholarly journals Literature Review : Gambaran Kualitas Hidup Pasien Yang Menjalani Hemodialisa

2021 ◽  
Vol 1 ◽  
pp. 1138-1149
Author(s):  
Asri Nurul Mamluaty ◽  
Rita Dwi Hartanti
Keyword(s):  
Quality Of Life ◽  
Chronic Kidney Disease ◽  
Renal Failure ◽  
Chronic Renal Failure ◽  
Kidney Disease ◽  
Literature Review ◽  
Chronic Kidney Failure ◽  
Hemodialysis Patients ◽  
Life Score

AbstractIn patients with chronic renal failure, hemodialysis therapy is needed to replace kidney function by removing nitrogenous substances and toxins in the blood and excessive water. Appropriate management of patients with chronic kidney failure in addition to preventing complications is expected to increase the client's life expectancy. In patients with chronic kidney failure, quality of life also reflects the quality of treatment because it involves physical, psychological, and social processes to be achieved. A good quality of life is needed by hemodialysis patients to prevent the disease from getting worse. This literature review aims to describe the quality of life hemodialysis patients. This study accesses an online database with electronic searches on Pubmed, Portal garuda and Proquest. The search was conducted by combining the keywords “quality of life, chronic kidney disease, hemodialysis” and articles published in the period 2012-2021. Instrumen for the literature review using Strobe instrument. The results of the literature review show that the quality of life score on the physical health dimension is low while on the psychological and environmental dimensions the quality of life score is high. . It is hoped that this study can be a reference for nurses in providing holistic nursing care to patients undergoing hemodialysis so that their quality of lifecan improve. This research is then needed as a data base for the development of other researchers.Keywords: Chronic renal failure; hemodialysis; quality of life AbstrakGagal ginjal kronik disebabkan karena disfungsi ginjal yang bersifat menahun, progresif, irreversible yang memerlukan terapi hemodialisa, pengaturan pola makan dan akses cairan yang masuk. Pada pasien gagal ginjal kronik terapi hemodialisa diperlukan untuk mengganti fungsi ginjal mengeluarkan zat-zat nitrogen dan racun dalam darah dan air yang berlebihan. Pasien hemodialisa dihadapkan pada sejumlah permasalahan fisik dan psikososial yang bisa menurunkan kualitas hidup. Kualitas hidup juga mencerminkan kualitas pengobatan karena melibatkan proses fisik, psikologis, dan sosial yang ingin dicapai. Kualitas hidup yang baik sangat dibutuhkan pasien hemodialisa untuk mencegah penyakit bertambah buruk. Literature review ini bertujuan untuk mengetahui gambaran kualitas hidup pasien hemodialisa. Metode penelitian yang digunakan yaitu studi literature review. Data yang dikumpulkan dengan mengakses database online dengan penelusuran elektronik pada Pubmed, Portal garuda dan Proquest. Pencarian dilakukan dengan mengkombinasikan kata kunci bahasa Inggris “quality of life, chronic kidney disease, hemodialysis dan kata kunci dalam bahasa Indonesiagagal ginjal kronik, hemodialisa dan kualitas hidup”. Instrumen untuk literature review menggunakan instrumen Strobe. Hasil literature review menunjukan skor kualitas hidup pada dimensi kesehatan fisik rendah sedangkan pada dimensi psikologis dan lingkungan skor kualitas hidup tinggi. Penilaian kualitas hidup merupakan indikator penting untuk menilai keefektifan tindakan hemodialisis yang diberikan dan menjadi tujuan penting dalam pengobatan penyakit gagal ginjal tahap akhir. Kata kunci: Gagal Ginjal Kronik; hemodialisa; kualitas hidup.

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